During the last few years, many algorithms have been applied to deep neural networks to learn the best policy for playing Atari video games and to teach an agent how to associate the right action with an input representing the state.

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Question:

During the last few years, many algorithms have been applied to deep neural networks to learn the best policy for playing Atari video games and to teach an agent how to associate the right action with an input representing the state.

logical

classical

classification

none of above

Answer» d. none of above

Note:

The above multiple-choice question is for all general and Competitive Exams in India.

During the last few years, many algorithms have been applied to deep neural networks to learn the best policy for playing Atari video games and to teach an agent how to associate the right action with an input representing the state. Read More »

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Techniques involve the usage of both labeled and unlabeled data is called .

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Question:

Techniques involve the usage of both labeled and unlabeled data is called .

supervised

semi-supervised

unsupervised

none of the above

Answer» b. semi-supervised

Note:

The above multiple-choice question is for all general and Competitive Exams in India.

Techniques involve the usage of both labeled and unlabeled data is called . Read More »

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Suppose you plotted a scatter plot between the residuals and predicted values in linear regression and you found that there is a relationship between them. Which of the following conclusion do you make about this situation?

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Question:

Suppose you plotted a scatter plot between the residuals and predicted values in linear regression and you found that there is a relationship between them. Which of the following conclusion do you make about this situation?

a)since the there is a relationship means our model is not good

b)since the there is a relationship means our model is good

c)cant say

d)none of these

Answer» a. a)�since the there is a relationship means our model is not good

Note:

The above multiple-choice question is for all general and Competitive Exams in India.

Suppose you plotted a scatter plot between the residuals and predicted values in linear regression and you found that there is a relationship between them. Which of the following conclusion do you make about this situation? Read More »

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overlearning causes due to an excessive .

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Question:

overlearning causes due to an excessive .

capacity

regression

reinforcement

accuracy

Answer» a. capacity

Note:

The above multiple-choice question is for all general and Competitive Exams in India.

overlearning causes due to an excessive . Read More »

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Even if there are no actual supervisors learning is also based on feedback provided by the environment

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Question:

Even if there are no actual supervisors learning is also based on feedback provided by the environment

supervised

reinforcement

unsupervised

none of the above

Answer» b. reinforcement

Note:

The above multiple-choice question is for all general and Competitive Exams in India.

Even if there are no actual supervisors learning is also based on feedback provided by the environment Read More »

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While using all labels are turned into sequential numbers.

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Question:

While using all labels are turned into sequential numbers.

labelencoder class

labelbinarizer class

dictvectorizer

featurehasher

Answer» a. labelencoder class

Note:

The above multiple-choice question is for all general and Competitive Exams in India.

While using all labels are turned into sequential numbers. Read More »

» Machine Learning (ML) solved MCQs

Which of the following methods do we use to find the best fit line for data in Linear Regression?

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Question:

Which of the following methods do we use to find the best fit line for data in Linear Regression?

a)least square error

b)maximum likelihood

c) logarithmic loss

d) both a and b

Answer» a. a)�least square error

Note:

The above multiple-choice question is for all general and Competitive Exams in India.

Which of the following methods do we use to find the best fit line for data in Linear Regression? Read More »

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While using feature selection on the data, is the number of features decreases.

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Question:

While using feature selection on the data, is the number of features decreases.

yes

Answer» b. yes

Note:

The above multiple-choice question is for all general and Competitive Exams in India.

While using feature selection on the data, is the number of features decreases. Read More »

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Overfitting is more likely when you have huge amount of data to train?

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Question:

Overfitting is more likely when you have huge amount of data to train?

a) true

b) false

Answer» b. b) false

Note:

The above multiple-choice question is for all general and Competitive Exams in India.

Overfitting is more likely when you have huge amount of data to train? Read More »

» Machine Learning (ML) solved MCQs

Given that we can select the same feature multiple times during the recursive partitioning ofthe input space, is it always possible to achieve 100% accuracy on the training data (giventhat we allow for trees to grow to their maximum size) when building decision trees?

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Question:

Given that we can select the same feature multiple times during the recursive partitioning of
the input space, is it always possible to achieve 100% accuracy on the training data (given
that we allow for trees to grow to their maximum size) when building decision trees?

yes

Answer» b. no

Note:

The above multiple-choice question is for all general and Competitive Exams in India.

Given that we can select the same feature multiple times during the recursive partitioning ofthe input space, is it always possible to achieve 100% accuracy on the training data (giventhat we allow for trees to grow to their maximum size) when building decision trees? Read More »

» Machine Learning (ML) solved MCQs